Virtualization of spectrum resources for 5G networks

Shah Nawaz Khan, Adrian Kliks, Tao Chen, Miia Mustonen, Roberto Riggio, Leonardo Goratti

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    4 Citations (Scopus)


    The next generation of mobile networks, 5G, is currently under development by the industry, academia and international standard organizations. The key drivers of 5G are to provide incomparable more capacity (1000×), extremely lower latency (sub-millisecond) and to accommodate 'any' type of user (e.g. machines) in the network. Software-defined networking (SDN) and network function virtualization (NFV) technologies promise to bring an unprecedented level of flexibility in resource management. This paper presents a radio frequency spectrum management framework that is suitable to programmable 5G networks, under the overarching architecture of the 5G PPP COHERENT project. It also provides description of the recent advances and up-to-date initiatives for resource management in programmable 5G networks. The core contribution consists in the design of an SDN-enabled spectrum management application (SMA), and the related abstraction models that have been developed to enable flexible spectrum management. This paper demonstrates that suitable policy and topology abstraction models are key to spectrum management and sharing process.
    Original languageEnglish
    Title of host publication2017 European Conference on Networks and Communications (EuCNC)
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Number of pages5
    ISBN (Electronic)978-1-5386-3873-6
    ISBN (Print)978-1-5386-3874-3
    Publication statusPublished - 2017
    MoE publication typeA4 Article in a conference publication
    EventEuropen Conference on Networks and Communications, EuCNC 2017 - Oulu, Finland
    Duration: 12 Jun 201715 Jun 2017


    ConferenceEuropen Conference on Networks and Communications, EuCNC 2017
    Abbreviated titleEuCNC 2017


    The work presented in this paper has been funded by the EU H2020 project COHERENT (contract no. 671639).


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